grahamannett

import numpy as np
import itertools

keypad = [list(range(n, n+3)) for n in range(1, 10, 3)]
keypad.append([None, 0, None])

keypad = np.array(keypad)


def get_values(obs):

grahamannett

package main

import (
	"fmt"
	"os"
	"sort"
)

type kv struct {
	Key   string

grahamannett

import numpy as np


class SequenceDataGen:
    '''Generate batches on time series/sequential data

    Arguments:
        step_size: set input mean to 0 over the dataset.

        x_window: size of moving window over x

grahamannett

class SequenceDataGen:
    '''
    to add:
    vocab from:
        https://gist.github.com/braingineer/c69482eb1bfa4ac3bf9a7bc9b6b35cdf
    Generate minibatches on time series data

    example data can be generated with these:
        c1 = (list(range(1,10,1)) + list(range(10,1,-1)))*100
        c2 = [x * -1 * random() for x in c1]

grahamannett

😈  ~ $ mktmpenv
New python executable in tmp-f0a7b52744b0feee/bin/python2.7
Also creating executable in tmp-f0a7b52744b0feee/bin/python
Installing setuptools, pip...done.
This is a temporary environment. It will be deleted when you run 'deactivate'.
(tmp-f0a7b52744b0feee)😈  tmp-f0a7b52744b0feee $ pip freeze
You are using pip version 6.0.8, however version 7.0.3 is available.

grahamannett

Keybase proof

I hereby claim:

• I am grahamannett on github.
• I am grahama (https://keybase.io/grahama) on keybase.
• I have a public key whose fingerprint is C7F4 8C0A 8D1D 1B00 9CFB 0922 5770 5EF6 1BFC E17E

To claim this, I am signing this object: